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Introduction to Data Science

Name: Introduction to Data Science
Rating: 4.49 (4272 reviews)

Learn life cycle of data, time series, and more beneficial skills with Introduction to Data Science.

Instructor:

Dr. Abhinanda Sarkar

4.49

Ratings

Beginner

Level

1.5 Hrs

Learning hours

51.1K+

Learners

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Master in-demand skills & tools

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Introduction to Data Science

1.5 Learning Hours . Beginner

Skills you’ll Learn

Introduction to Data Science

Life Cycle of Data

A/B Testing

Time Series

SQL and NoSQL

Big Data

About this course

To keep up with the ever-evolving aspects of data and its domains, data handling and analysis have become crucial to understanding the information that comes attached to it, and that is exactly why data science has come such a long way. Data science is gradually conquering the world in all its glory, and that's why it's one of the most sought-after career options today, with millions of people wanting to learn the domain and master it. Data Science may be outlined as the study of information, wherever it comes from, what it represents, and also the ways by which it may be reworked into valuable inputs and resources to form business and IT strategies. In this course, you will understand what is data science and why do we need data science in this fast growing technological world. You will learn about life cyle of data along with idea of statistics and time series along with understanding of database such as SQL and NoSQL. Once you have the initial knowledge about the data, you will how to handle large amount of data using Big Data. This course will introduce you to the world of Data Science and topics related to Data Science.

The faculty for the course is Dr. Abhinanda Sarkar, Ph.D. from Stanford University and Ex-Faculty MIT, is Academic Director at Great Learning for Data Science and Machine Learning Programs.

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Course Outline

What and Why Data Science?

Life Cycle of Data

Basic idea of Distribution

A/B Testing

Time Series

Our course instructor

Dr. Abhinanda Sarkar

Academic Director - Data Science & Machine Learning

533.8K+ Learners

17 Courses

Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

Trusted by 10 Million+ Learners globally

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What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.49

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Course Rating

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Ratings & Reviews of this Course

Joseph Yakubu

5.0

★★★★ ★

Excellent Introductory Course for Data Science Enthusiasts

I enjoyed the course structure and the way complex concepts were broken down into simpler, digestible parts. The practical examples and hands-on projects helped me apply what I learned effectively. It was a great introduction to the world of data science, and I feel much more confident now.

Low Wen Song

5.0

★★★★ ★

Great Platform for Career Preparation

I came here to learn more about data science. With a background in mathematics, I knew enough about statistical analysis but lacked an understanding of the proper workings and ideas of what data science is all about. This course really helped me.

B.M.P.S.M Basnayaka

5.0

★★★★ ★

It Was a Nice Experience and I Got a Great Start to the Subject

The course was well delivered, and I am so grateful to participate.

Kishore Jamsutkar

5.0

★★★★ ★

I Was Able to Get a Good Understanding of What Data Science Is All About

I liked the course content structure and the language made it easy to understand. Topics were covered in a systematic manner, giving an overview and further insights that need to be taken into account.

Prayag Singh

5.0

★★★★ ★

A Wonderfully Practical Course - Both Personally and Professionally

Thank you for a great course. Great presentation style with lots of opportunities to ask questions and talk about real-life examples, which all made for a really enjoyable and informative course. This has more than met my expectations.

Shuddh Rai

5.0

★★★★ ★

It Was a Very Quick and Engaging Course

I loved the way the topics, which seemed to be of great depth, were explained effortlessly. As a result, the course was easy to follow and allowed me to retain whatever crucial knowledge was shared.

Azile Fikela

5.0

★★★★ ★

I Gained a Solid Foundation in Data Science Fundamentals

This course has been instrumental in laying the groundwork for my data science journey, and I look forward to continuing my growth and development in this field.

Bruno Munene

5.0

★★★★ ★

Exemplary Curriculum That Is Easy to Follow and a Perfect Instructor

The instructor was audible and clear with a good understanding of the topics. He explained the concepts and processes well enough to follow clearly. The course is also well structured.

Jagan Reddy

5.0

★★★★ ★

First, I Gained an In-Depth Understanding of Introduction to Data Science

I enjoyed the structured and comprehensive approach to learning, especially how the courses break down complex topics into digestible sections. The real-world case studies and interactive learning methods also kept me engaged, making the concepts easier to grasp.

Charanpreet Arora

5.0

★★★★ ★

The Course Was Informative and Engaging

The course provided a solid introduction to data science concepts, covering essential topics such as statistics, data manipulation, machine learning, and data visualization. The materials were well-structured and easy to follow.

Earn a certificate of completion

Get free course content

Learn at your own pace

Master in-demand skills & tools

Test your skills with quizzes

Introduction to Data Science

1.5 Learning Hours . Beginner

Frequently Asked Questions

What are the three main concepts of Data Science?

Data Science is a domain that involves extracting insights from an extensive amount of data using different scientific methods, processes, and algorithms. Visualization, Statistics, Machine Learning, and Deep Learning are important Data Science concepts.

Is intro to Data Science Easy?

Based on the opinions of the people, the scale changes. Data Science, without a doubt, is a challenging course, but to make it manageable, you must be thorough with your basics. Hence, learning the basics of Data Science is comparatively easy when conveyed and understood well.

What are the four components of Data Science?

Data Strategy, Data Engineering, Data Analysis and Models, and Data Visualization and Operationalization are the four components of Data Science.

Will I get a certificate after completing this introduction to Data Science free course?

Yes, you will get a certificate of completion for Introduction to Data Science after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this introduction to Data Science course cost?

It is an entirely free course from Great Learning Academy. anyone interested in learning the basics of introduction to Data Science can get started with this course.

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